Researcher-lecturer
Contact
Email :
rsadeghianbroujeny[at]cesi.fr
Phone number : +33 6 77 54 19 39
Research team
Engineering and Numerical Tools
Research themes
- Building energy management systems
- Modeling of processes in buildings
- Ambient intelligence
- Smart buildings, and cities
Educational activities
- Disciplines : Analog and digital electronics,Data science, Artificial intelligence, Physics, and Applications, Student project
- Niveau : PhD, Engineer, Bachelor
Background
- PhD Signals, Images, and Automatics
Paris-Est Créteil University, France, 2020
MSTIC: Mathematics and Sciences and Technologies of Information and Communication - Master of Science Degree in Renewable energy engineering
Shahid Beheshti University, Tehran, Iran, 2015 - Bachelor of Science Degree in Power Electrical engineering
Azad University, Saveh, Markazi, Iran, 2013
Active research program
- Energy consumption forecasting in buildings by AI techniques
- Energy performance in smart buildings and smart cities
- Microgrid modeling
Scientific and laboratory life
- Membre of LINEACT, 2021-
- Membre of LISSI, 2016-2020
Selected publications
- Khalil Al Sayed, Abhinandana Boodi, Roozbeh Sadeghian Broujeny, & Karim Beddiar. (2024). Reinforcement learning for HVAC control in intelligent buildings: A technical and conceptual review. Journal of Building Engineering, 95, 110085. https://doi.org/10.1016/j.jobe.2024.110085
- Sadeghian Broujeny, R.; Ben Ayed, S.; Matalah, M. Energy Consumption Forecasting in a University Office by Artificial Intelligence Techniques: An Analysis of the Exogenous Data Effect on the Modeling. Energies 2023, 16, 4065. https://doi.org/10.3390/en16104065
- R. Sadeghian Broujeny, K. Madani, A. Chebira, V. Amarger, and L. Hurtard, A Heating Controller Designing Based on Living Space Heating Dynamic’s Model Approach in a Smart Building. Energies 2021, 14, 998. https://doi.org/10.3390/ en14040998
- R. Sadeghian Broujeny, K. Madani, A. Chebira, V. Amarger, and L. Hurtard, “Data-Driven Living Spaces’ Heating Dynamics Modeling in Smart Buildings using Machine Learning-Based Identification,” Sensors, vol. 20, no. 4, p. 1071, Feb. 2020 [Online]. Available: http://dx.doi.org/10.3390/s20041071
- R. Sadeghian Broujeny, K. Madani, A. Chebira, V. Amarger and L. Hurtard, “A Machine-Learning Based Approach for Data-Driven Identification of Heating Dynamics of Buildings’ Living-Spaces,” 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Metz, France, 2019, pp. 197-202, doi: 10.1109/IDAACS.2019.8924329